IDEAS home Printed from https://ideas.repec.org/a/eee/ecofin/v69y2024ipas1062940823001250.html
   My bibliography  Save this article

Volatility spillovers across the spot and futures oil markets after news announcements

Author

Listed:
  • Apostolakis, George N.
  • Floros, Christos
  • Gkillas, Konstantinos
  • Wohar, Mark

Abstract

We study the influence of OPEC announcements on volatility transmission across the Brent and WTI oil markets. First, we examine the impact of information shocks with the use of a VEC-MGARCH model, allowing for asymmetry and structural breaks. Second, we examine the transmission of volatility across crude oil markets with the use of a dynamic connectedness approach. Our results demonstrate the existence of asymmetry in the responses to shocks during the Russia-Saudi Arabia oil price war. Furthermore, we find larger volatility responses for the Brent futures and spot prices after negative shocks in the COVID-19 period compared to shocks in the pre-COVID-19 period. Additionally, our results from the dynamic volatility connectedness model suggest that the WTI spot and futures markets are net transmitters of volatility shocks.

Suggested Citation

  • Apostolakis, George N. & Floros, Christos & Gkillas, Konstantinos & Wohar, Mark, 2024. "Volatility spillovers across the spot and futures oil markets after news announcements," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
  • Handle: RePEc:eee:ecofin:v:69:y:2024:i:pa:s1062940823001250
    DOI: 10.1016/j.najef.2023.102002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1062940823001250
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.najef.2023.102002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Asymmetric effects; Volatility spillovers; MGARCH; Volatility impulse responses; Futures; VECM; DCC; Connectedness index; COVID-19 pandemic;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecofin:v:69:y:2024:i:pa:s1062940823001250. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620163 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.